Data Engineer, Jakarta

2 days ago

Jakarta, Indonesia BCG X - Talent Architecture Full time

**Data Engineer, Jakarta - BCG X (Contract)**:
**Who We Are**

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

**We Are BCG X**:
BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

**What You'll Do**:
As a Data Engineer, you will play a crucial role in designing, developing, and maintaining data pipelines, systems, and solutions that empower our clients to make informed business decisions. You will collaborate closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver high-quality data solutions that meet our clients' needs.

**Who You Are**:

- Delivering original analysis and insights to case teams, typically owning all or part of an analytics module whilst integrating with a case team.
- Design, develop, and maintain efficient and robust data pipelines for extracting, transforming, and loading data from various sources to data warehouses, data lakes, and other storage solutions.
- Building data-intensive solutions that are highly available, scalable, reliable, secure, and cost-effective using programming languages like Python and PySpark or Scala
- Deep knowledge of Big Data querying, distributed computing frameworks and analysis tools, such as PySpark, Hive, Snowflake and Databricks.
- Familiarity with streaming frameworks like Kafka or Kinesis for handling real-time data pipelines is a plus
- Broad expertise in at least one Cloud platform like AWS/GCP/Azure with a strong understanding of cloud-native tools for storage, compute, and data orchestration
- Understanding of data governance frameworks, including managing access, permissions, and compliance with data privacy regulations and experience in data pipelines and infrastructure using IAM roles, encryption, and network security best practices
- Working knowledge of automation and deployment tools such as Apache Airflow, Jenkins, GitHub Actions, etc., as well as infrastructure-as-code technologies like Terraform and CloudFormation.
- Good understanding of DevOps, CI/CD pipelines, orchestration, and containerization tools like Docker and Kubernetes.
- Basic understanding on Machine Learning methodologies and pipelines, and tools like MLflow, enabling support for data preparation and ML workflows
- Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts) with consultants, collecting, synthesizing, analyzing case team learning & inputs into new best practices and methodologies.

**What You'll Bring (Experience & Qualifications)**:

- Bachelor's / master's degree in computer science engineering/technology
- At least 2-4 years within relevant domain of Data Engineering across industries and work experience providing analytics solutions in a commercial setting.
- Consulting experience will be considered a plus.
- Proficient understanding of distributed computing principles including management of Spark clusters, with all included services - various implementations of Spark

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